Senior Applied AI Engineer
Core
Bridge human domain expertise and production AI execution by authoring, architecting prompts, and integrating AI skills for Workday's agent platform.
Role type
Senior Applied AI Engineer (Agentic Engineering)
Builds
Production-grade AI skills, agentic capabilities, and developer authoring environments for Workday's customer onboarding and post-deployment lifecycle.
Domain
Enterprise SaaS / Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Python, TypeScript, REST APIs, JSON/YAML schemas, Prompt Engineering, Model Context Protocol (MCP), AI-assisted development tools (Cursor, Claude Code), Unit/Integration Testing, CI/CD pipelines
Preferred skills
Generative AI & Tool Calling, Code Refactoring, Logic Optimization, Edge-Case Stress Testing, Production Telemetry & Drift Analysis
Technologies
Cursor, Claude Code, MCP, REST APIs, JSON, YAML
Responsibilities
Translate complex business logic and tribal knowledge into structured AI skill definitions; Operate AI-driven IDEs to generate and refine prompt logic and MCP tool calls; Connect skills to backend systems via REST APIs and MCP servers; Abstract messy procedures into modular, testable code; Design automated test suites for edge cases and error handling; Establish best practices and review pull requests for schema compliance; Curate benchmark eval datasets and implement LLM-as-a-Judge scoring; Analyze production agent traces to identify failures and improve deterministic behavior.
Seniority
Senior, hands-on IC
